When machine learning is used to suggest new potential scientific insights or directions, algorithms sometimes offer ...

The drug development pipeline is a costly and lengthy process. Identifying high-quality "hit" compounds-those with high potency, selectivity, and favorable metabolic properties-at the earliest stages ...

The open-source model designs therapeutics across "any" modality with experimental validation for diverse real-world challenging targets.

U.S. biotech firm Nabla Bio said on Tuesday it has signed a second major research partnership with Japanese drugmaker Takeda Pharmaceutical, deepening their use of artificial intelligence to ...

In this webinar, Jae Chang Lim and Hyun Joon Chang will discuss how a cutting-edge artificial intelligence platform is transforming early-stage drug discovery.

A researcher has proposed a more targeted approach to AI drug discovery, which includes a rigorous evaluation protocol.

This process is costly, time-consuming, and has a low success rate. KAIST researchers have developed an AI model that, using only information about the target protein, can design optimal drug ...

About one-third of all drugs approved by the Food and Drug Administration target the largest family of cell membrane ...

TOKYO--(BUSINESS WIRE)--Elix, Inc. (CEO: Shinya Yuki / Headquarters: Tokyo; hereinafter “Elix”) is pleased to announce that its AI drug discovery platform, Elix ...